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Xavier Holt deleted In_terms_of_results_our__.tex
over 8 years ago
Commit id: e025fa2a6bd4a23f49e62926c04da92b5feb2eb0
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In terms of results, our Bayesian logit model performed consistently less accurately and more slowly. In terms of sanity check, our MLE estimated is correctly situated around the peak of each of our posterior distributions. This is unsurprising, as we have ensured that our $\lambda$ parameters align in terms of posterior distribution/goal function. While there is a clear Markovian behaviour present in the sampling process, the formulation of our algorithm guarantees us convergence in distribution, at least in the limit. As such we do not attribute the model's poor behaviour to this.
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Each_cell_is_the_average__.tex
figures/WEIGHTS DIST/WEIGHTS DIST.png
figures/SamplingCONV/SamplingCONV.png
In_terms_of_results_our__.tex
Gridsearch__.md
Gridsearch_is_included_here_only__.tex
figures/FN/FN.png